ok

Great overall basic introduction to DL and another great point of view for a better understanding of the whole concept of AI/ML. Very likely to be understandable for management and other non technicians. Well organized and a consecutive storyboard. Could be done on a weekend, with a moderate background in ML. Thanks a lot for this great course. Greetings, Sascha / Ps.: Not a perfect 5 star rating due to two minor errors, missing word & wrong answer linked, in two quizzes.

I had already completed a Deep Learning course (NN) that was more mathematical. I enjoyed the deep Learning for Business course because it helped me see the big picture which was lost in the detail of the more math one. Having the Tensorflow Playground exposed by the professor was a very enjoyable bonus.

Course is very good. I'm not giving it five stars, cause even though the lectures are great, I don't see the point in having the professor just reading exactly what the slides say, and barely adding a word. Would not be any different if the material was available without the professor reading it.

An elaborate overview of the whole Deep Learning area and the various methods and applications pertaining to it. Makes you aware about the things required for a deeper knowledge on Deep Learning Architectures and gives you enough material to whet your curiosity.

Good start to know about the various Products that are built with Deep Learning techniques and further exploring on Convolution Neural Networks (CNN) and Recurrent Neural Networks (RNN) concepts, thanks.

Good Introductory course for those from a business background. But if you have technical skills, then probably another course (Machine Learning from Andrew Ng may be a better one).

Content is complete and cover a huge scope. Improvement could come from using the Tensor flow earlier in the course to get better representation of the outcome and more hands on.

An interesting and comprehensive study on DL. It was very thorough with great examples and proper demonstration of technologies used behind everyday objects.

Excellent course for the beginners. I have got good opportunity to learn the basics of Deep Leaning. My suggestion would be to include practical examples.

Very good course to prepare for what is coming about IoT, IA, ML and DL, many concepts have been cleared for me, thanks Professor Jong.

Concise and focused on main concepts. Perhaps some more examples on CNN and RNN would be useful to understand better those topics.

I appreciated the most when the Deep Learning models where graphicaly presented. I found them very useful and easy to understand.

Valoi...Keu loite chaile loibar paros. Learned a lot a new things. Thanks to yonsei university and coursera for this course.

It was a good introduction and overview to some of key underlying technologies in Machine Learning. Thank you.

Excellent content, very up to date information. Thank you for the quality introduction to the future.

Great knowledge and really good explanation, but no practice exercises with examples from our live

It gives very high level overview about the tool and platforms available in the AI, ML, DL field.

good bsaic concepts. I would probably include some more videos on concrete business applications

The coverage is vast and subject itself is abstract. However it was a great learning experience.

Prof Jong-Moon Chung kept the lessons short and sweet thus making it easier to understand.

Test quizzes are a bit peripheral. But it was good to go through deep learning quickly.

Good course, quite technical with a lot of focus on the underlying methodology.

Great course because is a generaldescription de aplication and methods the RNN

it can be more implement course not only tell us the information .